Soft computing approach to electrical transmission network congestion management

Abstract

In this paper an efficient technique is described for managing the congestion in electric transmission network based on rescheduling the nearby generators and/or shedding some of the loads. To incorporate the uncertainty in the system objectives and parameters, fuzzy environment is considered for the formulation of the problem. In the solution process bio-inspired computational technique, genetic algorithm (GA) is used. The approach is illustrated by standard IEEE 30-bus 6-generator test system.